School teachers in Germany and Denmark: a comparative study of self-efficacy and distinct profiles in using Artificial Intelligence for teaching and learning

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Authors

This paper provides insights into the perspectives of school teachers (N = 532) on the subject of Artificial Intelligence (AI) in Germany (n = 256) and Denmark (n = 276), focusing on their perceptions, AI self-efficacy, and distinct teacher profiles. Teachers in Germany recognized the usefulness of AI tools for individualized learning more strongly than teachers in Denmark. Furthermore, teachers in Germany consistently reported higher levels of AI self-efficacy. Latent class analysis yielded four distinct school teacher profiles: (rather) optimistic, (rather) critical, critically reflected, and ambiguous. These profiles exhibited differences among teachers in Germany and Denmark. The findings indicate that the educational systems impact teachers’ perceptions and AI self-efficacy differently, which needs to be considered for targeted interventions. The distinct teacher profiles provide an opportunity to develop tailored interventions to ensure responsible adoption.
Original languageEnglish
JournalJournal of Research on Technology in Education
Number of pages19
ISSN1539-1523
DOIs
Publication statusE-pub ahead of print - 29.10.2025

Bibliographical note

Publisher Copyright:
© 2025 The Author(s). Published with license by Taylor & Francis Group, LLC.

    Research areas

  • AI self-efficacy, Artificial intelligence, Denmark, Germany, latent profile analysis, teachers
  • Educational science